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    Objective: Generally we want to ensure that the execution of a scalar
    function in the project of a table scan is done on the segments to utilize
    parallelization. Note that there are cases when executing on coordinator
    is better. This would be when network cost is high (e.g. function returns
    large text string) and compute cost is low (i.e. less win from
    parallelization).

    test=# CREATE TABLE r (i) AS SELECT generate_series(1, 10000000) DISTRIBUTED RANDOMLY;
    test=# ANALYZE r;
    test=# CREATE EXTENSION IF NOT EXISTS plpython3u;
    test=# CREATE OR REPLACE FUNCTION add_one (i int) RETURNS int LANGUAGE plpython3u IMMUTABLE AS $$ return i + 1 $$;

    test=# EXPLAIN VERBOSE SELECT i, add_one(i) FROM r;
                                          QUERY PLAN
    --------------------------------------------------------------------------------------
     Gather Motion 3:1  (slice1; segments: 3)  (cost=0.00..1176.27 rows=10000000 width=8)
       Output: i, (add_one(i))
       ->  Seq Scan on public.r  (cost=0.00..493.33 rows=3333334 width=4)
             Output: i, add_one(i)
     Optimizer: Pivotal Optimizer (GPORCA)
    (5 rows)

  ]]>
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